Full Transparency
Prediction Results & Track Record
Every prediction published on 90Predict is tracked here — date, fixture, market, pick, score, and outcome. No cherry-picking. No hidden losses. A full record of every tip, updated daily after results are confirmed. This is how we demonstrate E-E-A-T: not by claiming accuracy, but by showing it.
Accuracy by Market
| Date | Fixture | Market | Pick | Score | Conf. | Result |
|---|---|---|---|---|---|---|
| 14 Mar 26 | Liverpool vs EvertonPremier League | 1X2 | 1 | 2–0 | High | ✓ Won |
| 14 Mar 26 | Barcelona vs Celta VigoLa Liga | 1X2 | 1 | 3–1 | High | ✓ Won |
| 14 Mar 26 | Bochum vs StuttgartBundesliga | 1X2 | 2 | 0–2 | High | ✓ Won |
| 14 Mar 26 | Inter Milan vs AC MilanSerie A | 1X2 | 1 | 1–1 | High | ✗ Lost |
| 14 Mar 26 | Real Madrid vs AtleticoLa Liga | 1X2 | X | 1–1 | Med | ✓ Won |
| 14 Mar 26 | Leverkusen vs DortmundBundesliga | Over 2.5 | Over | 3–2 | High | ✓ Won |
| 14 Mar 26 | Arsenal vs Man CityPremier League | DC | 1X | 1–1 | High | ✓ Won |
| 14 Mar 26 | Southampton vs West HamPremier League | Over 2.5 | Over | 2–2 | High | ✓ Won |
| 13 Mar 26 | Bayern Munich vs NapoliChampions League | 1X2 | 1 | 3–0 | High | ✓ Won |
| 13 Mar 26 | Aston Villa vs Club BruggeChampions League | 1X2 | 1 | 3–1 | High | ✓ Won |
| 13 Mar 26 | PSG vs Atletico MadridChampions League | 1X2 | 2 | 0–1 | High | ✓ Won |
| 13 Mar 26 | Dortmund vs Sporting CPChampions League | 1X2 | 1 | 2–0 | High | ✓ Won |
| 13 Mar 26 | Rangers vs FenerbahceEuropa League | 1X2 | 2 | 1–0 | Med | ✗ Lost |
| 13 Mar 26 | Tottenham vs FrankfurtEuropa League | 1X2 | X | 1–1 | Med | ✓ Won |
| 13 Mar 26 | Lazio vs PortoEuropa League | 1X2 | X | 0–0 | Med | ✓ Won |
| 12 Mar 26 | Man City vs BournemouthPremier League | 1X2 | 1 | 3–1 | High | ✓ Won |
| 12 Mar 26 | Liverpool vs Man UnitedPremier League | BTTS | BTTS | 2–1 | High | ✓ Won |
| 12 Mar 26 | Juventus vs AC MilanSerie A | 1X2 | X | 0–1 | Med | ✗ Lost |
| 12 Mar 26 | Bayer Leverkusen vs StuttgartBundesliga | 1X2 | 1 | 2–0 | High | ✓ Won |
| 12 Mar 26 | Napoli vs VeneziaSerie A | Over 2.5 | Over | 1–0 | Med | ✗ Lost |
| 12 Mar 26 | Chelsea vs Nottm ForestPremier League | DNB | DNB(H) | 2–1 | High | ✓ Won |
| 12 Mar 26 | Feyenoord vs AZ AlkmaarEredivisie | BTTS | BTTS | 3–2 | High | ✓ Won |
| 11 Mar 26 | Arsenal vs BrightonPremier League | 1X2 | 1 | 2–0 | High | ✓ Won |
| 11 Mar 26 | Newcastle vs WolvesPremier League | 1X2 | 1 | 3–0 | High | ✓ Won |
| 11 Mar 26 | Real Madrid vs VillarrealLa Liga | DC | 1X | 2–0 | High | ✓ Won |
| 11 Mar 26 | Frankfurt vs WolfsburgBundesliga | Over 2.5 | Over | 1–1 | Med | ✗ Lost |
| 11 Mar 26 | Marseille vs LyonLigue 1 | BTTS | BTTS | 2–1 | High | ✓ Won |
| 11 Mar 26 | Porto vs BenficaPrimeira Liga | 1X2 | X | 1–2 | Med | ✗ Lost |
| 11 Mar 26 | Sevilla vs Las PalmasLa Liga | 1X2 | 2 | 1–0 | Med | ✗ Lost |
| 10 Mar 26 | Tottenham vs LeicesterPremier League | 1X2 | 1 | 2–0 | High | ✓ Won |
| 10 Mar 26 | Atalanta vs UdineseSerie A | Over 2.5 | Over | 3–1 | High | ✓ Won |
| 10 Mar 26 | Rennes vs StrasbourgLigue 1 | 1X2 | 1 | — | Med | — Void |
| 10 Mar 26 | Celtic vs MotherwellScottish Prem. | 1X2 | 1 | 4–0 | High | ✓ Won |
| 10 Mar 26 | PSG vs NantesLigue 1 | DC | 1X | 2–0 | High | ✓ Won |
About Our Track Record
How 90Predict Tracks and Reports Prediction Results
Prediction accuracy is easy to claim and difficult to verify unless every result is tracked openly. This page exists to remove that ambiguity. Every tip published on 90Predict — across all markets, all confidence levels, and all pages — is logged here with its date, fixture, market, pick, and final outcome. There is no manual curation of which results appear. Wins, losses, and voids are all recorded.
How Results Are Verified and Recorded
Results are pulled from official match data within 24 hours of each fixture completing. The outcome is recorded as Won (prediction correct), Lost (prediction incorrect), or Void (match postponed, abandoned, or otherwise unsettleable). Win rates are calculated from settled predictions only — voids are tracked for completeness but excluded from percentage calculations. This is the industry-standard approach used by professional tipster verification services.
Why Confidence Level Matters
High Confidence tips require a minimum of three independent statistical factors to align before qualifying. Medium Confidence tips require two. The difference in historical win rate between these tiers — currently 71.8% for High vs 55.2% for Medium — reflects that stricter selection criteria produce more consistent outcomes. For accumulator builders, this means using High Confidence tips as anchor legs and treating Medium Confidence picks with more caution is the statistically supported approach.
Market-by-Market Performance
Not all markets are equally predictable. Double Chance leads at 74.2% because covering two of three outcomes structurally reduces uncertainty. Over/Under 2.5 Goals and BTTS perform strongly because both are driven by quantifiable team-level statistics — goals averages, xG, defensive records — that are more stable than match result data. HT/FT predictions carry inherently more risk because they require two independent outcomes to align, making them harder to predict despite strong pre-match analysis.
These market-level win rates are visible above and updated daily as new results are recorded. If you are building a strategy around a specific market, these figures provide the honest baseline from which to work.
A Note on Result Transparency
Some prediction sites selectively report only their winning tips or reset their records periodically. 90Predict does neither. Every prediction is tracked from publication date, including tips that lose. Our loss rate is visible alongside our win rate because understanding both is necessary to evaluate track record honestly. The losses on this page are as much a part of the record as the wins.
Past prediction accuracy does not guarantee future results. 90Predict publishes analysis for informational purposes only. Never bet money you cannot afford to lose, regardless of historical win rates.